Mitchell Beattie

614 total citations · 1 hit paper
9 papers, 357 citations indexed

About

Mitchell Beattie is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Mitchell Beattie has authored 9 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Mitchell Beattie's work include Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers) and Virus-based gene therapy research (3 papers). Mitchell Beattie is often cited by papers focused on Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers) and Virus-based gene therapy research (3 papers). Mitchell Beattie collaborates with scholars based in United States, Netherlands and Hungary. Mitchell Beattie's co-authors include Ying K. Tam, Norbert Pardi, Drew Weissman, Anna R. Smith, Fatima Rizvi, Valerie Gouon–Evans, Hua Liu, Hiromi Muramatsu, Paulo J.C. Lin and Meagan McMahon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Science Advances.

In The Last Decade

Mitchell Beattie

9 papers receiving 354 citations

Hit Papers

Murine liver repair via transient activation of regenerat... 2021 2026 2022 2024 2021 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mitchell Beattie United States 9 222 90 85 74 66 9 357
Samantha Barichievy South Africa 10 272 1.2× 59 0.7× 89 1.0× 57 0.8× 78 1.2× 13 361
Anna Serquiña United States 6 286 1.3× 70 0.8× 54 0.6× 96 1.3× 22 0.3× 7 457
Matthias Hamdorf United States 7 345 1.6× 65 0.7× 115 1.4× 92 1.2× 39 0.6× 8 512
Saliha Majdoul United States 10 152 0.7× 79 0.9× 59 0.7× 129 1.7× 69 1.0× 14 328
Sylvie Lachmann Germany 11 179 0.8× 113 1.3× 42 0.5× 36 0.5× 144 2.2× 11 351
Michelle A. Loprieno United States 11 180 0.8× 166 1.8× 95 1.1× 67 0.9× 64 1.0× 15 426
Mandy Muller United States 9 181 0.8× 30 0.3× 115 1.4× 72 1.0× 39 0.6× 18 307
Ludovic Aillot France 7 136 0.6× 59 0.7× 158 1.9× 76 1.0× 108 1.6× 8 331
Yanwei Bi China 9 190 0.9× 27 0.3× 131 1.5× 38 0.5× 66 1.0× 14 323
Lia R. Walker United States 6 93 0.4× 101 1.1× 91 1.1× 74 1.0× 34 0.5× 9 339

Countries citing papers authored by Mitchell Beattie

Since Specialization
Citations

This map shows the geographic impact of Mitchell Beattie's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mitchell Beattie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Beattie more than expected).

Fields of papers citing papers by Mitchell Beattie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell Beattie. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mitchell Beattie. The network helps show where Mitchell Beattie may publish in the future.

Co-authorship network of co-authors of Mitchell Beattie

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell Beattie. A scholar is included among the top collaborators of Mitchell Beattie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mitchell Beattie. Mitchell Beattie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Marton, Annamária, Drew Weissman, Csaba Vízler, et al.. (2023). Restoration of Motor Function through Delayed Intraspinal Delivery of Human IL-10-Encoding Nucleoside-Modified mRNA after Spinal Cord Injury. Research. 6. 56–56. 13 indexed citations
3.
Dijken, Harry van, Hiromi Muramatsu, Mitchell Beattie, et al.. (2022). A universal influenza mRNA vaccine candidate boosts T cell responses and reduces zoonotic influenza virus disease in ferrets. Science Advances. 8(50). eadc9937–eadc9937. 27 indexed citations
4.
Tregoning, John S., Ziyin Wang, Katie E. Flight, et al.. (2022). Formulation, inflammation, and RNA sensing impact the immunogenicity of self-amplifying RNA vaccines. Molecular Therapy — Nucleic Acids. 31. 29–42. 32 indexed citations
5.
McMahon, Meagan, George O’Dell, Jessica Tan, et al.. (2022). Assessment of a quadrivalent nucleoside-modified mRNA vaccine that protects against group 2 influenza viruses. Proceedings of the National Academy of Sciences. 119(45). e2206333119–e2206333119. 53 indexed citations
6.
Villiger, Lukas, Tanja Rothgangl, Dominik Witzigmann, et al.. (2021). In vivo cytidine base editing of hepatocytes without detectable off-target mutations in RNA and DNA. Nature Biomedical Engineering. 5(2). 179–189. 75 indexed citations
7.
Freyn, Alec W., Victoria Rosado, Marcel Benz, et al.. (2021). Antigen modifications improve nucleoside-modified mRNA-based influenza virus vaccines in mice. Molecular Therapy — Methods & Clinical Development. 22. 84–95. 26 indexed citations
8.
Rizvi, Fatima, Anna R. Smith, Hua Liu, et al.. (2021). Murine liver repair via transient activation of regenerative pathways in hepatocytes using lipid nanoparticle-complexed nucleoside-modified mRNA. Nature Communications. 12(1). 613–613. 103 indexed citations breakdown →
9.
Rizvi, Fatima, Anna R. Smith, Mitchell Beattie, et al.. (2021). Transient yet Robust Expression of Proteins in the Mouse Liver via Intravenous Injection of Lipid Nanoparticle-encapsulated Nucleoside-modified mRNA. BIO-PROTOCOL. 11(19). e4184–e4184. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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